Wiener‑Informed Decoding Accelerates Training of Pixel‑Space Flow Models

The paper shows that frozen Wiener estimates of coarse second‑order image statistics improve velocity learning in pixel‑space flow models, with additional gains from frozen bases and pixel decoding, motivating the Wiener‑informed Decoding (WiD) approach.

Why it matters

Prioritize adding statistical priors like WiD to your image‑generation roadmap to reduce training time.

For product managers

For your product

What does this mean for your product?

Try it on your product

Read at Hugging Face Papers

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